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029 0 a| DTICEb| ADA494931;

035 a| (Sirsi) o320412805;

035 a| (OCoLC)320412805;

040 a| DTICEc| DTICEd| GPOd| UtOrBLW;

043 a| n-us---;

049 a| ERE#;

074 a| 0324-A-01 (online);

086 0 a| D 101.133:4728;

100 1 a| Dogaru, Traian.?| UNAUTHORIZED;

245 10 a| Time-frequency analysis of a moving human Doppler signature /c| by Traian Dogaru, Calvin Le, and Getachew Kirose.;

260 a| Adelphi, MD :b| Army Research Laboratory,c| [2009];

300 a| vi, 26 pages :b| digital, PDF file.;

336 a| text2| rdacontent;

337 a| computer2| rdamedia;

338 a| online resource2| rdacarrier;

490 1 a| ARL-TR-4728;

500 a| Final rept. 2007-2008.;

500 a| Title from PDF title screen (viewed June 23, 2009).;

500 a| "February 2009.";

504 a| Includes bibliographical references (p. 24).;

506 a| APPROVED FOR PUBLIC RELEASE.;

520 a| In this report we analyze the Doppler signature of a moving human with the purpose of finding temporal change patterns that would allow detection and classification of movers. The analysis is based on computer models that simulate the operation of a pulse-Doppler radar. We start with an animated human mesh in walking motion and compute the frame-by-frame radar return using electromagnetic solvers such as the Finite Difference Time Domain (FDTD). The results are processed in the time-frequency domain via Short-Time Fourier Transforms (STFT) and displayed as spectrograms. In the end, we try to distinguish patterns in these spectrograms that are characteristic to a certain human motion type. The analysis emphasizes the phenomenological aspects of the Doppler signature, by looking at the relative contribution of various body parts and the effect of frequency, aspect angle, polarization and other radar parameters.;

538 a| Mode of access: Internet from the ARL web site. Address as of 6/23/09: http://www.arl.army.mil/arlreports/2009/ARL-TR-4728.pdf ; current access available via PURL.;

650 0 a| Doppler effectx| Computer simulation.=| ^A246816;

650 0 a| Human mechanicsx| Effect of radiation onx| Computer simulation.=| ^A3645;

650 27 a| Active and passive radar detection & equipment.2| scgdst;

650 17 a| Doppler radar.2| dtict;

650 17 a| Pattern recognition.2| dtict;

650 27 a| Humans.2| scgdst;

650 27 a| Walking.2| scgdst;

650 27 a| Finite difference time domain.2| scgdst;

650 27 a| Motion.2| scgdst;

650 27 a| Signatures.2| scgdst;

650 27 a| Aspect angle.2| scgdst;

650 27 a| Fourier transformation.2| scgdst;

650 27 a| Computerized simulation.2| scgdst;

653 2 a| STFT(SHORT-TIME FOURIER TRANSFORM);

653 2 a| SPECTROGRAMS;

700 1 a| Le, Calvin.=| ^A998364;

700 1 a| Kirose, Getachew.=| ^A998363;

710 2 a| U.S. Army Research Laboratory.=| ^A367731;

830 0 a| ARL/TR ;v| 4728.=| ^A567324;

856 40 u| https://purl.fdlp.gov/GPO/LPS114007;

949 a| Click on web addressw| ASISh| JOYNER94o| jlhb;

998 a| 1899977;

998 a| u1899977;

596 a| 1;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 1899977-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 9/16/2009x| EDOCUMENTz| JERESOURCEo| .STAFF. jlhb;

Time-frequency analysis of a moving human Doppler signature / by Traian Dogaru, Calvin Le, and Getachew Kirose.

Author/creator	Dogaru, Traian
Other author	Le, Calvin.
Other author	Kirose, Getachew.
Other author	U.S. Army Research Laboratory.
Format	Electronic
Publication Info	Adelphi, MD : Army Research Laboratory, [2009]
Description	vi, 26 pages : digital, PDF file.
Supplemental Content	https://purl.fdlp.gov/GPO/LPS114007
Subjects	Doppler effect--Computer simulation. Human mechanics--Effect of radiation on. --Computer simulation.

Series	ARL-TR-4728 ARL/TR ; 4728. ^A567324
Abstract	In this report we analyze the Doppler signature of a moving human with the purpose of finding temporal change patterns that would allow detection and classification of movers. The analysis is based on computer models that simulate the operation of a pulse-Doppler radar. We start with an animated human mesh in walking motion and compute the frame-by-frame radar return using electromagnetic solvers such as the Finite Difference Time Domain (FDTD). The results are processed in the time-frequency domain via Short-Time Fourier Transforms (STFT) and displayed as spectrograms. In the end, we try to distinguish patterns in these spectrograms that are characteristic to a certain human motion type. The analysis emphasizes the phenomenological aspects of the Doppler signature, by looking at the relative contribution of various body parts and the effect of frequency, aspect angle, polarization and other radar parameters.
General note	Final rept. 2007-2008.
General note	Title from PDF title screen (viewed June 23, 2009).
General note	"February 2009."
Bibliography note	Includes bibliographical references (p. 24).
Access restriction	APPROVED FOR PUBLIC RELEASE.
Technical details	Mode of access: Internet from the ARL web site. Address as of 6/23/09: http://www.arl.army.mil/arlreports/2009/ARL-TR-4728.pdf ; current access available via PURL.
GPO item number	0324-A-01 (online)
Govt. docs number	D 101.133:4728

Time-frequency analysis of a moving human Doppler signature / by Traian Dogaru, Calvin Le, and Getachew Kirose.

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